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Trade

sell - JUP

Status
win
2025-03-31 22:54:13
45 minutes
PNL
1.15
Entry: 0.4331
Last: 0.42810000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 40

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.42
  4. atr: 0.00224016
Details
  1. score: 1.42
  2. long_trend_details
  3. ema9 - 0.427542
  4. ema21 - 0.43985
  5. ema50 - 0.458149
  6. ema9_ema21_diff - -2.7983
  7. ema21_ema50_diff - -3.99392
  8. ema9_ema50_diff - -6.68047
  9. price_ema21_diff - -1.5348
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - False
    12. ¸

Short Trade on JUP

The 31 Mar 2025 at 22:54:13

With 2381 JUP at 0.4331$ per unit.

Position size of 1031 $

Take profit at 0.4281 (1.2 %) and Stop Loss at 0.4365 (0.79 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -26.04 %

Symbol Start at Seach Score Trade Score Trades Count
RENDER 2025-06-21 20:28:41 0.9535 -100 1
MKR 2025-06-17 15:13:47 0.9516 -53.33 3
FLOKI 2025-06-21 20:32:05 0.9476 35 2
POPCAT 2025-05-19 09:56:52 0.9478 40 1
OM 2025-05-03 19:16:38 0.9469 30 2
DOT 2025-04-08 22:10:19 0.9475 40 1
NEAR 2025-05-03 01:00:36 0.947 -100 1
TAO 2025-05-19 09:50:15 0.9462 -100 1

📌 Time Data

Start at Closed at Duration
31 Mar 2025
22:54:13		 31 Mar 2025
23:40:00		 45 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.4331 0.4365 0.4281 1.5 0.4389
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 0.4331
  • Stop Loss: 0.4365
  • Take Profit: 0.4281

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.4365 - 0.4331 = 0.0034

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.4331 - 0.4281 = 0.005

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.005 / 0.0034 = 1.4706

📌 Position Size

Amount Margin Quantity Leverage
1031 1031 2381 10.31
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss 0.0034

Taille de position = 8 / 0.0034 = 2352.94

Taille de position USD = 2352.94 x 0.4331 = 1019.06

Donc, tu peux acheter 2352.94 avec un stoploss a 0.4365

Avec un position size USD de 1019.06$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2352.94 x 0.0034 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2352.94 x 0.005 = 11.76

Si Take Profit atteint, tu gagneras 11.76$

Résumé

  • Taille de position 2352.94
  • Taille de position USD 1019.06
  • Perte potentielle 8
  • Gain potentiel 11.76
  • Risk-Reward Ratio 1.4706

📌 Peformances

TP % Target TP $ Target
1.2 % 12 $
SL % Target SL $ Target
0.79 % 8.1 $
PNL PNL %
12 $ 1.15
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.20780420226276 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.4263
            [stop_loss] => 0.4365
            [rr_ratio] => 2
            [closed_at] => 2025-03-31 23:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.4246
            [stop_loss] => 0.4365
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-01 04:45:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.4229
            [stop_loss] => 0.4365
            [rr_ratio] => 3
            [closed_at] => 2025-04-01 04:45:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.4212
            [stop_loss] => 0.4365
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-01 04:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.4195
            [stop_loss] => 0.4365
            [rr_ratio] => 4
            [closed_at] => 2025-04-01 04:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.4178
            [stop_loss] => 0.4365
            [rr_ratio] => 4.5
            [closed_at] => 2025-04-01 04:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.4161
            [stop_loss] => 0.4365
            [rr_ratio] => 5
            [closed_at] => 2025-04-01 04:45:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.4144
            [stop_loss] => 0.4365
            [rr_ratio] => 5.5
            [closed_at] => 2025-04-01 04:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.4127
            [stop_loss] => 0.4365
            [rr_ratio] => 6
            [closed_at] => 2025-04-01 04:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.411
            [stop_loss] => 0.4365
            [rr_ratio] => 6.5
            [closed_at] => 2025-04-01 04:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.4093
            [stop_loss] => 0.4365
            [rr_ratio] => 7
            [closed_at] => 2025-04-01 04:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)